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Job Description & How to Apply Below
- Monitor fraud trends, anomalies, and suspicious activities.
- Analyze fraud detection performance (hit rate, false positive, detection quality).
- Evaluate and optimize fraud rules and provide enhancement recommendations.
- Conduct pattern analysis, transaction behavior analysis, and root cause investigation.
- Track fraud metrics including fraud ratio, fraud loss, and SLA.
- Ensure data quality through validation and reconciliation.
- Develop dashboards, visualizations, reports, and actionable business insights.
- Support continuous improvement of fraud analytics processes and monitoring.
- Bachelor’s Degree in Statistics, Mathematics, Computer Science, Economics, or related fields
. - Minimum 2 years of experience in Data Analytics
, preferably in Fintech, Banking, Multifinance, or Digital Lending
. - Proficient in SQL and Google Sheets
. - Familiar with Python, R, SAS
, or other analytics tools. - Experience with visualization tools (
Power BI, Superset, Google Data Studio / Looker Studio
).
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